Mohammed Yousif Oudah Al Muttar
Papers
1
Total Citations
15
H-Index
1
About
Mohammed Yousif Oudah Al Muttar is a researcher specializing in robotics, control systems, and autonomous navigation, with a particular focus on wheeled mobile robots and formation control. His work addresses critical challenges in coordinating non-holonomic multi-robot teams operating in obstacle-laden environments. Al Muttar’s major contribution lies in developing and evaluating advanced predictive control models—including Laguerre-based and nonlinear predictive control strategies—to enhance the performance and stability of mobile robot formations when navigating around barriers. His most-cited paper (2024, 15 citations) introduces a virtual structure formation control approach that calculates individual robot paths while maintaining cohesive team behavior, offering a practical solution for real-world applications in search-and-rescue, surveillance, and automated logistics. Although this paper has been retracted, it has nonetheless sparked discussion and further investigation within the robotics community. Al Muttar’s research bridges theoretical control methods and applied robotics, making his work relevant for students and engineers seeking robust, scalable solutions for autonomous multi-agent systems operating under spatial constraints.
Research Focus
Key Achievements
Top Papers
- 1